package com.atguigu.chapter07;

import com.atguigu.chapter05.WaterSensor;
import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.KeyedStream;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.datastream.WindowedStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.windowing.ProcessWindowFunction;
import org.apache.flink.streaming.api.windowing.assigners.*;
import org.apache.flink.streaming.api.windowing.time.Time;
import org.apache.flink.streaming.api.windowing.windows.TimeWindow;
import org.apache.flink.util.Collector;

/**
 * TODO
 *
 * @author cjp
 * @version 1.0
 * @date 2021/3/6 9:12
 */
public class Flink01_TimeWindow {
    public static void main(String[] args) throws Exception {
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);

        SingleOutputStreamOperator<WaterSensor> sensorDS = env
                .socketTextStream("localhost", 9999)
                .map(new MapFunction<String, WaterSensor>() {
                    @Override
                    public WaterSensor map(String value) throws Exception {
                        // 切分
                        String[] line = value.split(",");
                        return new WaterSensor(line[0], Long.valueOf(line[1]), Integer.valueOf(line[2]));

                    }
                });

        // 分组之前开窗：所有的数据都会进入同一个并行实例
//        sensorDS.windowAll()

        KeyedStream<WaterSensor, String> sensorKS = sensorDS.keyBy(sensor -> sensor.getId());

        // 分组之后开窗：
        WindowedStream<WaterSensor, String, TimeWindow> sensorWS = sensorKS
                .window(TumblingProcessingTimeWindows.of(Time.seconds(5))); // 滚动窗口： 窗口大小
//                .timeWindow(Time.seconds(5));

//                .window(SlidingProcessingTimeWindows.of(Time.seconds(5), Time.seconds(2))); // 滑动窗口： 窗口大小、滑动步长
//                  .timeWindow(Time.seconds(5),Time.seconds(2));

//        .window(ProcessingTimeSessionWindows.withGap(Time.seconds(3))); // 会话窗口： 静态间隔
//                .window(ProcessingTimeSessionWindows                      // 会话窗口： 动态间隔
//                        .withDynamicGap(
//                                new SessionWindowTimeGapExtractor<WaterSensor>() {
//                                    @Override
//                                    public long extract(WaterSensor element) {
//                                        return element.getTs() * 1000L; // Flink里的时间戳单位都是 毫秒
//                                    }
//                                })
//                );

//        .window(GlobalWindows.create()) // 全局窗口，需要自己指定触发器
//                .trigger();


        sensorWS
                .process(new ProcessWindowFunction<WaterSensor, String, String, TimeWindow>() {
                    @Override
                    public void process(String key, Context context, Iterable<WaterSensor> elements, Collector<String> out) throws Exception {
                        out.collect("key=" + key + "\n" +
                                "数据条数:" + elements.spliterator().estimateSize() + "\n" +
                                "窗口是:[" + context.window().getStart() + "," + context.window().getEnd() + ")\n\n");
                    }
                })
                .print();


        env.execute();
    }
}
